Datasets:
py_ast

{"ast": {"description": "Dataset consisting of parsed ASTs that were used to train and\nevaluate the DeepSyn tool.\nThe Python programs are collected from GitHub repositories\nby removing duplicate files, removing project forks (copy of another existing repository)\n,keeping only programs that parse and have at most 30'000 nodes in the AST and\nwe aim to remove obfuscated files", "citation": "@InProceedings{OOPSLA \u201916, ACM,\ntitle = {Probabilistic Model for Code with Decision Trees.},\nauthors={Raychev, V., Bielik, P., and Vechev, M.},\nyear={2016}\n}\n", "homepage": "https://www.sri.inf.ethz.ch/py150", "license": "", "features": {"ast": {"feature": {"type": {"dtype": "string", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}, "children": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": {"input": "ast", "output": ""}, "builder_name": "py_ast", "config_name": "ast", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1870790180, "num_examples": 100000, "dataset_name": "py_ast"}, "test": {"name": "test", "num_bytes": 907514993, "num_examples": 50000, "dataset_name": "py_ast"}}, "download_checksums": {"http://files.srl.inf.ethz.ch/data/py150.tar.gz": {"num_bytes": 526642289, "checksum": "4093b331d43c795e39fb5f156ccb7dcbb04c5d745d5e840c2d6926c11292dbd4"}}, "download_size": 526642289, "post_processing_size": null, "dataset_size": 2778305173, "size_in_bytes": 3304947462}}